python:3D曲面图的2D透视投影

时间:2013-10-30 07:16:28

标签: python 3d matplotlib projection

我正在使用matplotlib(python)制作3D表面图。我想想象xy xz和yz表面上3D表面的阴影(2D透视投影)

在matlab中,SHADOWPLOT完成了所需的工作。有谁知道Python是否有类似的东西可用于相同的东西?

1 个答案:

答案 0 :(得分:4)

来自 {here}的示例:

"""
.. versionadded:: 1.1.0
   This demo depends on new features added to contourf3d.
"""

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm

fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)

ax.set_xlabel('X')
ax.set_xlim(-40, 40)
ax.set_ylabel('Y')
ax.set_ylim(-40, 40)
ax.set_zlabel('Z')
ax.set_zlim(-100, 100)

plt.show()

和结果:

enter image description here